Webpage Information Extraction Using Filtering Characteristic Strings

The patent segments the webpage source code into multiple parts using regular expressions to identify and extract only the relevant content sections (such as article body, title, author) while excluding irrelevant parts (advertisements, navigation menus, footers). This segmentation approach divides the large quantity of webpage content into manageable segments, analyzing only the necessary portions to improve extraction efficiency.

The patent extracts only the target information (article content, title, author, publication time) from the webpage source code using predefined regular expression patterns. By taking out only the relevant information and discarding the rest, the system reduces the amount of data that needs to be processed and analyzed, thereby improving extraction efficiency without sacrificing information quality.

The patent extracts only the essential information elements (title, author, content, publication time) using regular expressions, avoiding the overhead of building and traversing the entire DOM tree structure. This extraction approach maintains information accuracy by focusing on key elements while significantly reducing memory allocation and processing resources required.

The patent uses lightweight regular expression patterns instead of heavy DOM tree structures. The regular expressions are simple, disposable patterns that can be quickly compiled and executed without requiring complex object management, memory allocation for node structures, or iterative traversal overhead, thereby reducing system resource usage while maintaining extraction reliability.